4 citations · 9 across the 7 of their papers we have counts for
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stat.AP2021★ 4 cited
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data
Zheng Dong, Shixiang Zhu, Yao Xie +2
Most COVID-19 studies commonly report figures of the overall infection at a state- or county-level. This aggregation tends to miss out on fine details of virus propagation. In this…
stat.AP2021★ 1 cited
Multi-resolution spatio-temporal prediction with application to wind power generation
Zheng Dong, Hanyu Zhang, Shixiang Zhu +2
Wind energy is becoming an increasingly crucial component of a sustainable grid, but its inherent variability and limited predictability present challenges for grid operators. The…
cs.LG2021★ 1 cited
Neural Spectral Marked Point Processes
Shixiang Zhu, Haoyun Wang, Zheng Dong +2
Self- and mutually-exciting point processes are popular models in machine learning and statistics for dependent discrete event data. To date, most existing models assume stationary…